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In condition monitoring of electrical machines, wireless sensors enables access to internal signals that are relatively unexplored compared to the conventional external measurements. This paper demonstrates the application of wireless sensor to measure the rotor field winding current in a Brushless Synchronous Generator and compare the fault detection capability with the stator exciter field current...
In this paper we propose event goodput, i.e., the fraction of events which may be successfully managed by a system, as a relevant metric to describe the performance of battery powered real-time sensor networks. Unlike other performance metrics as response, completion, maximum lateness times, all representing fundamental, but different, figures of merit for the description of the behavior of real-time...
Water is one of the precious factors in human life. It plays a vital role in the survival and existence of flora and fauna. But, now a days it is been exploited heavily by dumping of human waste, industrial and chemical waste in to the water bodies which is the resultant of water being contaminated with toxic chemicals. Water scarcity and water contamination has been one of the major issues faced...
Soil Moisture Sensing is important for many safety-critical, agricultural or even Smart Home applications to identify risks and take countermeasures at an early stage. By only punctually measuring the soil moisture, unfavorable events between the measurement points will possibly be undetected or recognized too late, because the detection radius is very limited. Therefore, this paper describes, how...
Camera-enabled sensors deployed for visual monitoring will cover a region of the target field, providing information for many innovative applications based on wireless sensing. Actually, some areas of the monitored field may have more relevance than others, according to the characteristics of the applications, which may indicate that such areas need better coverage to avoid blind spots and achieve...
In recent years, the wireless body area network (WBAN) has become a heated topic in research, but its quality of service (QoS) has not received enough attention. The two operation modes of IEEE802.15.4 are analyzed, and the slotted CSMA/CA mechanism is found more suitable for the WBAN. With the simulation tool OPNET the network delays are proved to change in accordance with the parameter values of...
Energy harvesting has been gaining a lot of attention in the past decade due to its ability to provide a-virtually-endless energy supply. Nodes in a Wireless Powered Communication Network (WPCN) depend, totally or partially, on the energy harvested from the Central Node (CN) which has a constant power supply. This work addresses a solution to the problem of lack of fairness in the distribution of...
Automation of modern industrial plants require real-time tracking of object locations and sensing of local and ambient parameters for variety of applications such as counting and tracking of objects in assembly line, detection and positioning of failures of machines etc. Mostly, discrete Real Time Location System (RTLS) performs object tracking in existing industrial automation without its integration...
The resource constraint is one of the top issues in the Internet of Things network. All activity in the network node should be carefully designed and managed to support the resource efficiency of the network. Hence, an energy efficient transceiver like ZigBee is popularly used as the infrastructure for the Internet of Things edge network. This paper presents our method for efficient ZigBee router...
In this paper, different energy harvesting solutions for an autonomous miniature wireless sensing node are invista-gated. The communication part is realized with Low Power Wide Area Network (LP-WAN) LoRa technology that combine low-power and long range capabilities. Solar, Thermal and Piezo harvesting techniques are compared for autonomous sensing application.
Incorporating cognitive radio technology into wire-less sensor networks enables the sensor nodes to use the idle channels to meet their communication demands, but the spectrum sensing process inevitably brings extra energy consumption. Since cognitive sensor nodes are generally low-powered with limited batteries, we consider a novel spectrum sensing scheme with combined clustering and censoring for...
Abnormal activity sensing has attracted increasing research attention in military surveillance, patient monitoring, and health care of children and elderly, etc. Researchers have exploited the characteristics of wireless signals to sense “keystrokes” and “human talks”, relieving the privacy invasion concern caused by mounting the surveillance cameras or wearing the smart devices. However, existing...
Localization is a very important issue to wireless sensor networks. The sensor node requires accurate location information in order to achieve the purpose of real-time monitoring and transmission of information. The more the sensor nodes and GPS modules are used in localization, the higher the localization accuracy can achieve, but employing more sensor nodes also leads to high costs. Thus, how to...
One of the most well-known clustering methods for wireless sensor network is, no doubt, the so-called low energy adaptive clustering hierarchy (LEACH) because it is simple and easy to implement. Although LEACH tries to provide a fair selection mechanism by randomly selecting a number of sensors as the cluster-heads, it does not take into account the distribution of sensors, the main reason that LEACH...
Wireless Sensor Network (WSN) acts as one of the fundamental elements of network infrastructure, requiring to establish a wireless communication network for the reliable frame transmission. The channel access in IEEE 802.15.4 employs Carrier Sense Multiple Access with Collision Avoidance (CSMA) without amendment. However, the contention collision of typical technique, IEEE 802.15.4, could not guarantee...
In cognitive radio systems, fast and efficient spectrum selection is a vital task to minimize the overhead of spectrum scanning, and hence to improve the response time of the system. So, the choice of channel sensing sequence plays an important role for better performance of the system. This paper proposes a co-operative Q-learning based spectrum sensing technique for the secondary users of an ad...
Event detection has become a ubiquitous application in the domain of wireless sensor networks. In any distributed event detection system, duplicate event data that can increase the likelihood of network congestion is a primary concern, and in-network data aggregation is a popular approach to alleviate this problem; similarly, duplicate data can be discarded. We propose a novel approach that utilises...
A communication protocol for fog computing should be efficient, lightweight and customizable. In this work we focus in a communication protocol for fog nodes composed of wireless sensors, which are spatially distributed autonomous sensors monitoring physical or environmental conditions. Problems with data congestion and limited physical resources are common in these networks. For the optimization...
The article presents an analysis of correlation-based clustering procedure in cooperative spectrum sensing. The motivation is to assess if it is more beneficial in terms of energy efficiency to group nodes according to the received signal-to-noise ratio (SNR) on the link between Primary User and node or according to the distance between nodes. To this end, a merged clustering measure is introduced...
A Wireless Sensor Network (WSN) consists of a hundred of sensor nodes which deployed in sensing fields in order to serve various applications. The limited resources of sensor nodes such as energy source, computational ability and communication bandwidth are the most important challenges in designing a reliable smart WSN which guarantees the connectivity and maximizing the lifetime of sensors batteries...
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